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Spectrum Occupancy Statistics and Time Series Models for Cognitive Radio

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Abstract

While dedicated spectrum occupancy monitoring provides vital information for frequency planning and management, it usually cannot tell the common properties in spectrum occupancy. As a complement, the models approach can be used to describe and compare the occupancy situations under similar conditions. Time series analysis has been applied to modeling the radio spectrum occupancy. This paper categorizes different time series models to different occupancy patterns. Occupancy analysis of the Global System for Mobile communications (GSM) band is given as an example.

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Acknowledgements

This work is supported by Durham University and British Telecom.

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Authors and Affiliations

  1. School of Engineering, Durham University, Durham, DH1 3LE, UK

    Zhe Wang & Sana Salous

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  1. Zhe Wang
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  2. Sana Salous
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Correspondence to Sana Salous.

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Wang, Z., Salous, S. Spectrum Occupancy Statistics and Time Series Models for Cognitive Radio. J Sign Process Syst 62, 145–155 (2011). https://doi.org/10.1007/s11265-009-0352-5

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  • DOI: https://doi.org/10.1007/s11265-009-0352-5

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